acmi-lab / cmu-10721-philosophy-machine-intelligence
Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
☆262Updated 2 years ago
Alternatives and similar repositories for cmu-10721-philosophy-machine-intelligence
Users that are interested in cmu-10721-philosophy-machine-intelligence are comparing it to the libraries listed below
Sorting:
- Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".☆288Updated 3 years ago
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆310Updated 2 years ago
- ☆184Updated 2 years ago
- ☆60Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 4 years ago
- ☆99Updated 3 years ago
- ☆103Updated 4 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- ☆470Updated 2 weeks ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- Resources from the EleutherAI Math Reading Group☆53Updated 2 months ago
- Thrilling tales of heroic feats by ML's larger-than-life champions.☆186Updated 3 years ago
- Enabling easy statistical significance testing for deep neural networks.☆335Updated 10 months ago
- Psych-GA.2207 Categories and Concepts☆16Updated last year
- Uncertainty quantification with PyTorch☆355Updated last month
- ☆62Updated 3 years ago
- ☆153Updated 4 years ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆259Updated 2 months ago
- ☆264Updated 5 years ago
- ☆123Updated 6 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated 11 months ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆176Updated 4 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Neural Networks and the Chomsky Hierarchy☆206Updated last year